- Shape the future of customer engagement through data, AI and intelligent decisioning.
- Influence data architecture, engineering standards and platform strategy across Business Banking.
- Experiment with and scale Generative AI and agentic AI capabilities powered by modern data platforms.
At CommBank, we're transforming how Business Banking customers and colleagues engage with the bank through data-driven experiences, intelligent insights and emerging AI capabilities.
As a Staff Data Engineer, you'll play a critical role in designing and building the data platforms, products and pipelines that power customer engagement, CRM experiences, operational intelligence and AI-enabled solutions across our Customer Channels & Data domain.
You'll have the opportunity to work with emerging Generative AI and agentic AI capabilities, helping build the trusted data foundations required to deliver intelligent customer and colleague experiences at scale.
Working closely with engineers, product teams, architects, analysts, data scientists and AI specialists, you'll influence platform strategy, engineering practices and technical direction while remaining hands-on with technology and delivery.
Business Banking Technology executes the Technology Strategy across Business Banking through world-leading application of technology and operations.
We partner closely with the business to solve real-world problems using data and AI-driven insights, resilient platforms and modern engineering practices, delivering customer value at speed and scale.
You'll join our Customer Channels & Data domain, responsible for capabilities including:
- Customer and colleague engagement platforms
- CRM and banker experiences
- Data products and decisioning services
- AI-enabled customer experiences
- Shared services supporting customer journeys across Business Banking
Working alongside engineers, architects, data specialists and business stakeholders, you'll help shape the data ecosystem that underpins critical customer experiences across the organisation.
- Design, build and evolve scalable cloud-native data products, platforms and pipelines.
- Lead technical design and engineering decisions across data architecture, ingestion, transformation and consumption patterns.
- Build trusted data assets that power customer engagement, reporting, analytics and AI-enabled experiences.
- Establish engineering standards and reusable patterns for data integration, quality, governance and security.
- Champion modern engineering practices including DevSecOps, CI/CD, automation and observability.
- Drive platform efficiency through automation, AI-assisted engineering and continuous improvement.
- Mentor data engineers and help uplift technical capability across the team.
- Partner with product, architecture, risk and business stakeholders to deliver meaningful customer and business outcomes.
- Strong experience designing, building and operating large-scale data platforms and data products.
- Experience delivering cloud-native data solutions using modern engineering practices.
- Proven expertise in data architecture, data modelling and distributed data ecosystems.
- Experience leading technical decisions and influencing engineering outcomes.
- A passion for engineering excellence, automation and continuous improvement.
- Strong stakeholder engagement and collaboration skills.
- Experience mentoring engineers and building high-performing engineering cultures.
We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;
- Extensive experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions
- Strong Data Architecture expertise including different data modelling techniques and design patterns (conceptual, logical, physical, semantic is preferred)
- Strong knowledge of data governance such as data lineage, technical metadata, data quality and reconciliation
- Ability to drive platform efficiency through automation and AI capabilities
- AWS Data Stack: EMR, Glue, Redshift, Athena, S3, Lambda, ECS
- Snowflake
- Data Orchestration & Pipelines: Airflow, Dataform
- Data Formats & Modelling: Iceberg, JSON, XML, CSV, Data Modelling
- Programming & DevOps: Python, SQL, Git, GitHub Actions, Team City, Jenkins, Octopus Unix shell scripting
- ETL & Ingestion: File ingress/egress solutions in AWS
- Security and Observability: DevSecOps, Artifactory, Observability tooling
- Testing & Automation: test automation frameworks, Jupyter Notebooks
- Familiarity with data warehousing and build experience in Teradata, Oracle
- Experience in visualisation tools such as PowerBI, Tableau
- Familiarity and experience with Agile processes
- AWS Data Engineer Associate certification
At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support please contact 1800 989 696.
